Triple
T23327727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Lyon County USD 251 |
E591342
|
entity |
| Predicate | organizationClassification |
P3580
|
FINISHED |
| Object | local education agency |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: local education agency | Statement: [North Lyon County USD 251, organizationClassification, local education agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationClassification Context triple: [North Lyon County USD 251, organizationClassification, local education agency]
-
A.
organizationType
chosen
Indicates the specific category or classification of an organization in terms of its nature, structure, or primary function.
-
B.
categoryWithinOrganization
Indicates that one organizational unit or category is contained within, and hierarchically belongs to, a broader organizational structure.
-
C.
organizationContext
Indicates that one entity operates within, is associated with, or is relevant to the organizational setting or environment defined by another entity.
-
D.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
E.
organizationDescribedBy
Indicates that an organization is characterized, detailed, or explained by a particular description or document.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197eb6cd481908acd5619b3af246d |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:13 p.m.